LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
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Updated
Sep 27, 2026 - Julia
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
A framework for high-performance domain decomposition methods.
A library of parallel sparse preconditionersfor PSBLAS
Local Fourier Analysis for arbitrary order finite element type operators
A Robust Algebraic Domain Decomposition Preconditioner For Sparse Normal Equations
Fine-grain parallel iterative methods
MATLAB/Octave interface for HIFIR (https://github.com/hifirworks/hifir)
CVPR 2025: Preconditioners for the Stochastic Training of Neural fields
Python interface for HIFIR (https://github.com/hifirproject/hifir)
A Python implementation of Generalized Fused Lasso from https://arxiv.org/pdf/1801.05413.pdf
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